11 design-universal-"https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Utrecht University
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Postdoc: AI-driven Urban (Re)Design for Health Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 15
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and
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water – groundwater interaction, climate variability and operational design. Design reproducible scenario and sensitivity analyses to quantify model uncertainty and identify the parameters that most
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communities" — a trans-local metanetwork for sharing knowledge and experience on NBS across the Mediterranean. Concretely, the postdoc will: Design and facilitate translocal community interactions
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; Demonstrable skills in qualitative research and scientific writing; Strong communication skills and preferably expertise with learning design (for example visual media production project); Knowledge of
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synthetic data training, such as model collapse. As a postdoctoral researcher on this project, you will: Design and evaluate methods for multimodal entity, timeline and relation extraction from
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Workforce Survey (ESWS) data from 9 European countries and a multilevel design with employees nested in teams nested in organisations. Advanced statistical techniques will be used to perform the
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engagement with project partners; M&E framework to evaluate future transition pathways for a circular society; Co-design theories of change with project partners to co-develop systemic strategies for
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impacts, and potential consequences for human health effects. You will help design, implement, and conduct in situ observation studies with partnered pilot sites (in the Baltic, Mediterranean, and
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professional network supporting your future scientific career. Key Responsibilities Design and execute mass spectrometry–based workflows for the identification and quantitation of disease-associated